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^1^H NMR 用于常规血清脂质组学分析的潜在应用 - 肥胖症手术效果的评估。

Potential Application of H NMR for Routine Serum Lipidome Analysis -Evaluation of Effects of Bariatric Surgery.

机构信息

Department of Environmental Analysis, Faculty of Chemistry, University of Gdansk, Wita Stwosza 63, 80-308, Gdansk, Poland.

Department of Pharmaceutical Biochemistry, Medical University of Gdansk, Debinki 1, 80-211, Gdansk, Poland.

出版信息

Sci Rep. 2017 Nov 14;7(1):15530. doi: 10.1038/s41598-017-15346-0.

DOI:10.1038/s41598-017-15346-0
PMID:29138414
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5686116/
Abstract

Routine laboratory lipid assays include simple measurements of total cholesterol, triacylglycerols and HDL. However, lipids are a large group of compounds involved in many metabolic pathways, and their alterations may have serious health consequences. In this study, we used H NMR to analyze lipids extracted from sera of 16 obese patients prior to and after bariatric surgeries. We observed a post-surgery decrease in serum concentrations of lipids from various groups. The hereby presented findings imply that H NMR is suitable for rapid, simple and non-invasive detection of lipids from 30 structural groups, among them triacylglycerols, phosphatidylcholine, phosphatidylethanolamine, sphingomyelin, total phospholipids, total, free and esterified cholesterol, total and unsaturated fatty acids. NMR-based analysis of serum lipids may contribute to a substantial increase in the number of routinely determined markers from this group; therefore, it may find application in clinical assessment of obese subjects prior to and after bariatric surgeries, as well as in the examination of patients with other metabolic diseases.

摘要

常规实验室脂质分析包括总胆固醇、三酰甘油和高密度脂蛋白的简单测量。然而,脂质是一组参与许多代谢途径的化合物,它们的改变可能会产生严重的健康后果。在这项研究中,我们使用 H NMR 分析了 16 名肥胖患者在减重手术后之前和之后从血清中提取的脂质。我们观察到手术后各种脂质组的血清浓度降低。本研究结果表明,H NMR 适用于快速、简单和非侵入性地检测来自 30 个结构组的脂质,其中包括三酰甘油、磷脂酰胆碱、磷脂酰乙醇胺、神经鞘磷脂、总磷脂、总胆固醇、游离胆固醇和酯化胆固醇、总脂肪酸和不饱和脂肪酸。基于 NMR 的血清脂质分析可能会大大增加该组中常规确定的标记物的数量;因此,它可能在肥胖患者减重手术前后的临床评估中以及在其他代谢性疾病患者的检查中得到应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d73/5686116/d727c3fa5c67/41598_2017_15346_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d73/5686116/49113419da3f/41598_2017_15346_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d73/5686116/e6b271f742e0/41598_2017_15346_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d73/5686116/c9f1dd315f30/41598_2017_15346_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d73/5686116/21be0595d560/41598_2017_15346_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d73/5686116/d727c3fa5c67/41598_2017_15346_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d73/5686116/49113419da3f/41598_2017_15346_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d73/5686116/e6b271f742e0/41598_2017_15346_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d73/5686116/c9f1dd315f30/41598_2017_15346_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d73/5686116/21be0595d560/41598_2017_15346_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d73/5686116/d727c3fa5c67/41598_2017_15346_Fig5_HTML.jpg

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